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LangChain Samples is a collection of code examples, cookbooks, reference implementations, and workshop materials created by customer facing teams at LangChain. These resources are designed purely for educational and demonstration purposes, helping developers explore patterns, integrations, and best practices when building with LangChain and related tooling.

All code and materials published here are provided as-is, without official support. Any assistance is offered strictly on a best-effort basis, and users should not expect production-grade support or long-term maintenance.

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  1. cicd-pipeline-example cicd-pipeline-example Public

    🤖🚀 CI/CD pipeline for LangSmith deployments and evals 🦜

    Python 29 12

  2. assistants-demo assistants-demo Public

    This project demonstrates how to implement runtime configuration patterns in ReAct Agents and supervisor-style architectures using LangGraph. It shows the progression from hardcoded agents to flexi…

    Python 19 7

  3. interrupt26-deepagents interrupt26-deepagents Public

    interrupt 2026 deepagents workshop

    Python 11 6

  4. A2A-langgraph A2A-langgraph Public

    This project demonstrates Agent-to-Agent (A2A) conversations using LangGraph with the A2A protocol. It includes implementations in both **Python** and **TypeSc…

    Jupyter Notebook 8 1

  5. deepagents-with-langsmith deepagents-with-langsmith Public

    Jupyter Notebook 7 1

  6. deepagent-gen-ui deepagent-gen-ui Public

    A demonstration of with a DeepAgent that generates CSV and PDF reports in custom React components.

    Python 6

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